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tensorflow/c/eager/c_api_experimental.cc
void TFE_SetLogicalCpuDevices(TFE_Context* ctx, int num_cpus, const char* prefix, TF_Status* status) { std::vector<std::unique_ptr<tensorflow::Device>> devices; if (prefix == nullptr || strlen(prefix) == 0) prefix = "/job:localhost/replica:0/task:0"; tensorflow::SessionOptions sess_options; (*sess_options.config.mutable_device_count())["CPU"] = num_cpus; status->status =
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 35.9K bytes - Viewed (3) -
.bazelrc
build:android_arm64 --config=android build:android_arm64 --cpu=arm64-v8a build:android_arm64 --fat_apk_cpu=arm64-v8a build:android_x86 --config=android build:android_x86 --cpu=x86 build:android_x86 --fat_apk_cpu=x86 build:android_x86_64 --config=android build:android_x86_64 --cpu=x86_64 build:android_x86_64 --fat_apk_cpu=x86_64 # Build everything statically for Android since all static libs are later
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu May 02 19:34:20 GMT 2024 - 52.8K bytes - Viewed (2) -
tensorflow/c/eager/c_api_experimental.h
// through TFE_ContextOptions, this method should not be called. TF_CAPI_EXPORT extern void TFE_SetLogicalCpuDevices(TFE_Context* ctx, int num_cpus, const char* prefix, TF_Status* status); // Set configuration key and value using coordination service.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental_test.cc
ASSERT_TRUE(absl::StrContains(device_type_cpu, "CPU")) << device_type_cpu; int device_id_cpu = TFE_TensorHandleDeviceID(h_cpu, status.get()); ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); ASSERT_EQ(0, device_id_cpu) << device_id_cpu; TFE_DeleteTensorHandle(h_default); TFE_DeleteTensorHandle(h_cpu); TFE_Executor* executor = TFE_ContextGetExecutorForThread(ctx);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 03:14:26 GMT 2023 - 31.5K bytes - Viewed (1) -
tensorflow/c/eager/c_api_test.cc
TFE_DeleteTensorHandle(retvals[0]); TFE_DeleteContext(ctx); TF_DeleteStatus(status); } TEST(CAPI, Execute_MatMul_CPU_Runtime_Error) { Execute_MatMul_CPU_Runtime_Error(false); } TEST(CAPI, Execute_MatMul_CPU_Runtime_ErrorAsync) { Execute_MatMul_CPU_Runtime_Error(true); } void Execute_MatMul_CPU_Type_Error(bool async) { TF_Status* status = TF_NewStatus(); TFE_ContextOptions* opts = TFE_NewContextOptions();
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1) -
.github/workflows/arm-ci.yml
./tensorflow/tools/ci_build/ci_build.sh cpu.arm64 bash tensorflow/tools/ci_build/rel/ubuntu/cpu_arm64_test.sh...
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Wed Feb 07 17:41:21 GMT 2024 - 2.2K bytes - Viewed (0) -
ci/official/envs/linux_x86_cuda
TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_gpu_linux" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ARGS="--gpus all" TFCI_LIB_SUFFIX="-gpu-linux-x86_64"
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Jan 19 00:24:30 GMT 2024 - 1K bytes - Viewed (0) -
tensorflow/c/c_api_test.cc
TF_DeleteStatus(s); } void Deallocator(void* data, size_t, void* arg) { tensorflow::cpu_allocator()->DeallocateRaw(data); *reinterpret_cast<bool*>(arg) = true; } TEST(CAPI, Tensor) { const int num_bytes = 6 * sizeof(float); float* values = reinterpret_cast<float*>(tensorflow::cpu_allocator()->AllocateRaw( TF_TensorDefaultAlignment(), num_bytes)); int64_t dims[] = {2, 3};
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# This bazelrc can build a CPU-supporting TF package. # Convenient cache configurations # Use a cache directory mounted to /tf/cache. Very useful! build:sigbuild_local_cache --disk_cache=/tf/cache # Use the public-access TF DevInfra cache (read only) build:sigbuild_remote_cache --remote_cache="https://storage.googleapis.com/tensorflow-devinfra-bazel-cache/manylinux2014" --remote_upload_local_results=false
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RELEASE.md
`.predict` is available for Cloud TPUs, Cloud TPU, for all types of Keras models (sequential, functional and subclassing models). * Automatic outside compilation is now enabled for Cloud TPUs. This allows `tf.summary` to be used more conveniently with Cloud TPUs. * Dynamic batch sizes with DistributionStrategy and Keras are supported on Cloud TPUs.
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